Loading...
UNICEF's data portal provides child-focused indicators covering mortality, nutrition, education, immunisation, child labour, and child protection for 190+ countries. Used in data engineering for humanitarian analytics pipelines, SDG child indicator tracking, and building global child welfare dashboards in Python.
UNICEF childinfo.org datasets are downloadable as Excel files or via the UNICEF Data API. Engineers use `pandas.read_excel()` with multi-level header handling, then reshape data from wide to long format for country-year time-series analysis.
UNICEF child welfare data trains AI models that identify at-risk child populations and predict humanitarian needs. Build RAG systems on UNICEF country profiles so LLMs can answer 'What percentage of children in South Asia complete primary school?' with official UNICEF statistics.
# pip install requests pandas
import requests, pandas as pd
# UNICEF Data API — under-5 mortality by country
resp = requests.get(
"https://sdmx.data.unicef.org/ws/public/sdmxapi/rest/data/UNICEF,CME_DF_MRY_U5MR,1.0/",
params={"format": "csv", "startPeriod": "2018", "endPeriod": "2023"}
)
from io import StringIO
df = pd.read_csv(StringIO(resp.text))
latest = df[df["TIME_PERIOD"] == df["TIME_PERIOD"].max()]
print(latest.nsmallest(10, "OBS_VALUE")[["REF_AREA", "TIME_PERIOD", "OBS_VALUE"]])Official dataset source
More datasets used by Python data engineers.
Access datasets on child well-being, education enrolment, nutrition, immunisation, child mortality, and child protection indicators worldwide from UNICEF. Used in data engineering for humanitarian analytics pipelines, SDG progress tracking, and building global child health indicator dashboards in Python.
The World Bank World Development Indicators provides 1,600+ time-series indicators covering poverty, health, education, infrastructure, and environment for 217 countries from 1960 onwards. Used in data engineering for global development dashboards, longitudinal analysis pipelines, and economic research systems in Python.
New York City's open data portal provides 3,000+ datasets covering taxi trips, 311 complaints, crime statistics, building permits, health inspections, and transit data. Used in urban data engineering pipelines for city analytics, transportation modelling, and building geospatial dashboards in Python.